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Conor Higgins
Senior Analytics Engineer with 5+ years of experience designing, building and owning data infrastructure at scale. At Deliveroo I specialise in end-to-end pipeline development — from raw ingestion through to production models and dashboards trusted by science and business stakeholders. Known for driving meaningful cost savings through systematic refactoring and performance optimisation, and for championing AI tooling adoption across engineering teams. Passionate about sport and data, with a Masters dissertation in Bayesian modelling of Premier League football outcomes.
Education
MSc Statistics
Lancaster University
Lancaster
2019 - 2018
- Merit awarded. Dissertation: ‘Dynamic Bayesian models for predicting Premier League Football outcomes’, applying advanced Bayesian statistical modelling to sports performance data.
BSc Mathematics with Statistics
Lancaster University
Lancaster
2018 - 2015
- Strong quantitative foundation in statistics, probability and mathematical modelling; minor in Chemistry.
Experience
Senior Analytics Engineer
Deliveroo
Remote
Current - 2025
- Built and owned the Selection Intelligence platform end-to-end, a Snowflake and Python system ingesting ML pipeline outputs to map the global merchant universe across all Deliveroo markets, predict monthly merchant revenue, and surface high-value sales leads for the commercial sales team.
- Drove significant Snowflake cost reduction and halved pipeline runtime from 4+ hours to under 2 hours through systematic refactoring of hundreds of models, full mart modelling of the team’s domain, and targeted compute optimisations.
- Championed AI tooling adoption across the Analytics Engineering function, producing practical guides and running workshops on Claude and Cursor for analysts and stakeholders; serve as escalation on-call engineer for major data incidents.
Analytics Engineer
Deliveroo
London
2025 - 2022
- Served as lead Analytics Engineer for the restaurant domain, taking full ownership of the data infrastructure including ELT pipelines, dimensional models and the reporting layer powering daily commercial decision-making across all Deliveroo markets.
- Drove cross-functional partnerships with Sales, Science and Product teams, maintaining the data infrastructure powering Deliveroo’s most critical Looker dashboards for senior stakeholders.
- Built and maintained production ELT pipelines using Deliveroo’s in-house orchestration framework; developed Python tooling for pipeline automation, data quality testing and output validation.
Analytics Engineer
DAZN
London
2022 - 2020
- Designed and built DAZN’s first payments data warehouse from scratch using Snowflake and Airflow, establishing the company’s only source of truth for Invoices, Transactions and Involuntary Churn reporting across a rapidly scaling global streaming platform.
- Built and maintained scalable ELT pipelines using dbt, Airflow and Python; partnered with PMs and stakeholders to deliver data-led insights informing key product and commercial decisions.
- Built the foundational data infrastructure used across the entire business, partnering with Finance and Product to deliver accurate payments reporting for a company with no prior data structure in this domain.